Faculty Bibliography

The differential influence of sex on premature mortality in schizophrenia is unclear. This study assessed the differences in all-cause and specific cause mortality risks in people with schizophrenia compared to several control groups stratified by sex. We conducted a PRISMA 2020-compliant systematic review and random-effects meta-analysis of cohort studies assessing mortality relative risk (RR) for people with schizophrenia, comparing by sex. We measured publication bias and conducted a quality assessment through the Newcastle-Ottawa scale. We meta-analyzed 43 studies reporting on 2,700,825 people with schizophrenia. Both males and females with schizophrenia had increased all-cause mortality vs. comparison groups (males, RR=2.62, 95%CI 2.35-2.92; females, RR=2.56, 95%CI 2.27-2.87), suicide (males, RR=9.02, 95%CI 5.96-13.67; females, RR=12.09, 95%CI 9.00-16.25), and natural cause mortality (males, RR=2.11, 95%CI 1.88-2.38; females, RR=2.14, 95%CI 1.93-2.38). No statistically significant differences in sex-dependent mortality risk emerged. There was an age-group-dependent increased mortality risk in females < 40 years vs. >/=40 years old (RR=4.23/2.17), and significantly higher risk of death due to neurological disorders (dementia) in males vs. females (RR=5.19/2.40). Increased mortality risks were often associated with specific modifiable risk factors. The increased mortality risk did not improve over time, calling for more studies to identify modifiable factors, and for better physical healthcare for males and females with schizophrenia.

BACKGROUND:Randomised controlled trials (RCTs) evaluating ADHD medications often use strict eligibility criteria, potentially limiting generalisability to patients in real-world clinical settings. We aimed to identify the proportion of individuals with ADHD who would be ineligible for medication RCTs and evaluate differences in treatment patterns and clinical and functional outcomes between RCT-eligible and RCT-ineligible individuals. METHODS:We used multiple Swedish national registries to identify individuals with ADHD, aged at least 4 years at the age of diagnosis, initiating pharmacological treatment between Jan 1, 2007, and Dec 31, 2019, with follow-up up to Dec 31, 2020. Hypothetical RCT ineligibility was established using exclusion criteria from the international MED-ADHD dataset, including 164 RCTs of ADHD medications. Cox models evaluated differences in medication switching and discontinuation within 1 year between eligible and ineligible individuals. Quasi-Poisson models compared eligible and ineligible individuals on rates of psychiatric hospitalisations, injuries or accidents, and substance use disorder within 1 year of initiating ADHD medications. People with lived experience of ADHD were not involved in the research and writing process. FINDINGS/RESULTS:Of 189 699 individuals included in the study cohort (112 153 men and boys [59%] and 77 546 women and girls [41%]; mean age 21·52 years [SD 12·83; range 4-68]) initiating ADHD medication, 53% (76 477 [74%] of 103 023 adults [aged >17 years], 12 658 [35%] of 35 681 adolescents [aged 13-17 years], and 10 643 [21%] of 50 995 children [aged <13 years]) would have been ineligible for RCT participation. Ethnicity data were not available. Ineligible individuals had a higher likelihood of treatment switching (hazard ratio 1·14, 95% CI 1·12-1·16) and a decreased likelihood of medication discontinuation (0·96, 0·94-0·98) compared with eligible individuals. Individuals ineligible for RCTs had significantly higher rates of psychiatric hospitalisations (ncidence rate ratio 9·68, 95% CI 9·57-9·78) and specialist care visits related to substance use disorder (14·78, 14·64-14·91), depression (6·00, 5·94-6·06), and anxiety (11·63, 11·56-11·69). INTERPRETATION/CONCLUSIONS:Individuals ineligible for ADHD medication trials face higher risks of adverse outcomes. This study provides the first empirical evidence for the limited generalisability of ADHD RCTs to real-world clinical populations, by applying eligibility criteria extracted from a comprehensive dataset of RCTs to a large real-world cohort. Triangulating evidence from RCTs and real-world studies is crucial to inform rigorous evidence-based treatment guidelines. FUNDING/BACKGROUND:National Institute of Healthcare and Research, European Union's Horizon 2020, and Swedish Research Council.

Individuals with attention-deficit/hyperactivity disorder (ADHD) exhibit varied responses to pharmacological treatments (e.g. stimulants and non-stimulants). Accurately and promptly detecting treatment-related improvements, response failure, or deterioration poses significant challenges, as current monitoring primarily relies on subjective ratings. In this commentary, we critically evaluate the evidence supporting the use of QbTest for objectively monitoring ADHD treatment response in clinical practice. We also offer recommendations for future research, advocating for rigorous clinical trials and longitudinal studies to further explore the potential utilisation of QbTest and other tools for monitoring treatment responses in individuals with ADHD.

We investigated whether there is an emotional processing deficit in ADHD and whether this only applies to specific emotional categories. In this PRISMA-compliant systematic review based on a pre-registered protocol ( https://osf.io/egp7d ), we searched MEDLINE, PsycINFO, ERIC, Scopus and Web of Science databases until 3rd December 2023, to identify empirical studies comparing emotional processing in individuals meeting DSM (version III to 5-TR) or ICD (version 9 or 10) criteria for Attention Deficit/Hyperactivity Disorder (ADHD) and in a non-psychiatric control group. Study quality was assessed with the Appraisal tool for Cross-Sectional Studies (AXIS). Eighty studies were included and meta-analysed (encompassing 6191 participants and 465 observations). Bayesian meta-analyses were conducted to compare individuals with ADHD and non-psychiatric controls on overall emotional processing measures (meta-analysis 1) and across emotional categories (meta-analysis 2). The type of stimulus employed, outcome measurement reported, age, sex, and medication status were analysed as moderators. We found poorer performance in both overall emotion processing (g =  - 0.65) and across emotional categories (anger g =  - 0.37; disgust g =  - 0.24; fear g =  - 0.37; sadness g =  - 0.34; surprise g =  - 0.26; happiness/positive g =  - 0.31; negative g =  - 0.20; neutral g =  - 0.25) for individuals with ADHD compared to non-psychiatric controls. Scales items and accuracy outcome being the most effective moderators in detecting such differences. No effects of age, sex, or medication status were found. Overall, these results show that impaired emotional processing is a relevant feature of ADHD and suggest that it should be systematically assessed in clinical practice.

The diagnosis of autism is currently based on the developmental history, direct observation of behavior, and reported symptoms, supplemented by rating scales/interviews/structured observational evaluations-which is influenced by the clinician's knowledge and experience-with no established diagnostic biomarkers. A growing body of research has been conducted over the past decades to improve diagnostic accuracy. Here, we provide an overview of the current diagnostic assessment process as well as of recent and ongoing developments to support diagnosis in terms of genetic evaluation, telemedicine, digital technologies, use of machine learning/artificial intelligence, and research on candidate diagnostic biomarkers. Genetic testing can meaningfully contribute to the assessment process, but caution is required when interpreting negative results, and more work is needed to strengthen the transferability of genetic information into clinical practice. Digital diagnostic and machine-learning-based analyses are emerging as promising approaches, but larger and more robust studies are needed. To date, there are no available diagnostic biomarkers. Moving forward, international collaborations may help develop multimodal datasets to identify biomarkers, ensure reproducibility, and support clinical translation.

The directionality of the relationship between adolescent alcohol consumption and mental health difficulties remains poorly understood. This study investigates the longitudinal relationship between alcohol use frequency, internalizing and externalizing symptoms from the ages of 11 to 17. We conducted a random-intercept cross-lagged panel model across three timepoints (ages: 11yrs, 14yrs, 17yrs; 50.4% female) in the Millennium Cohort Study (N = 10,647). Survey weights were used to account for attrition. At each timepoint, past month alcohol use frequency was self-reported, parents and cohort members reported internalizing/externalizing symptoms using the Strengths and Difficulties Questionnaire. We controlled for alcohol expectancies, sex, and four cumulative risk indices (perinatal risk, early childhood adverse parenting, longitudinal parent-level risk occurrence, and persistent household socioeconomic deprivation). More frequent past month alcohol use at age 11 predicted increased internalizing symptoms at age 14 (β = 0.06; p =.01). More frequent past month alcohol use at age 14 predicted increased externalizing symptoms at age 17 (β = 0.11; p <.001). Increased internalizing symptoms consistently predicted reduced alcohol use at the next timepoint throughout the study period (11 years: β= -0.04; p =.03; 14 years: β= -0.09; p <.001). Increased externalizing symptoms at age 11 predicted increased alcohol consumption at age 14 (β = 0.06; p =.004). Frequent adolescent alcohol consumption represents a significant risk for subsequent mental health difficulties. Externalizing symptoms and alcohol use frequency appear to exacerbate one another. Internalizing symptoms may reduce the risk of frequent alcohol consumption. Incorporating routine alcohol screening into adolescent mental health treatment settings could reduce the risk of comorbid externalizing and alcohol use disorders.

Part I of this systematic review summarized the state-of-the-art of pediatric psychopharmacology for Autism Spectrum Disorder (ASD), a severe and lifelong neurodevelopmental disorder. The purpose of this Part II follow-up article is to provide a systematic overview of the experimental psychopharmacology of ASD. To this aim, we have first identified in the Clinicaltrials.gov website all the 157 pharmacological and nutraceutical compounds which have been experimentally tested in children and adolescents with ASD using the randomized placebo-controlled trial (RCT) design. After excluding 24 drugs already presented in Part I, a systematic review spanning each of the remaining 133 compounds was registered on Prospero (ID: CRD42023476555), performed on PubMed (August 8, 2024), and completed with EBSCO, PsycINFO (psychology and psychiatry literature) and the Cochrane Database of Systematic reviews, yielding a total of 115 published RCTs, including 57 trials for 23 pharmacological compounds and 48 trials for 17 nutraceuticals/supplements. Melatonin and oxytocin were not included, because recent systematic reviews have been already published for both these compounds. RCTs of drugs with the strongest foundation in preclinical research, namely arbaclofen, balovaptan and bumetanide have all failed to reach their primary end-points, although efforts to target specific patient subgroups do warrant further investigation. For the vast majority of compounds, including cannabidiol, vasopressin, and probiotics, insufficient evidence of efficacy and safety is available. However, a small subset of compounds, including N-acetylcysteine, folinic acid, l-carnitine, coenzyme Q10, sulforaphane, and metformin may already be considered, with due caution, for clinical use, because there is promising evidence of efficacy and a high safety profile. For several other compounds, such as secretin, efficacy can be confidently excluded, and/or the data discourage undertaking new RCTs. Part I and Part II summarize "drug-based" information, which will be ultimately merged to provide clinicians with a "symptom-based" consensus statement in a conclusive Part III, with the overarching aim to foster evidence-based clinical practices and to organize new strategies for future clinical trials.

IMPORTANCE/UNASSIGNED:Amid escalating mental health challenges among young individuals, intensified by the COVID-19 pandemic, analyzing postpandemic trends is critical. OBJECTIVE/UNASSIGNED:To examine mental health care utilization and prescription rates for children, adolescents, and young adults before and after the COVID-19 pandemic. DESIGN, SETTING, AND PARTICIPANTS/UNASSIGNED:This population-based time trend study used an interrupted time series analysis to examine mental health care and prescription patterns among the French population 25 years and younger. Aggregated data from the French national health insurance database from January 2016 to June 2023. Data were analyzed from September 2023 to February 2024. MAIN OUTCOMES AND MEASURES/UNASSIGNED:The number of individuals with at least 1 outpatient psychiatric consultation, those admitted for full-time psychiatric hospitalization, those with a suicide attempt, and those receiving psychotropic medication was computed. Data were stratified by age groups and sex. Quasi-Poisson regression modeled deseasonalized data, estimating the relative risk (RR) and 95% CI for differences in slopes before and after the pandemic. RESULTS/UNASSIGNED:This study included approximately 20 million individuals 25 years and younger (20 829 566 individuals in 2016 and 20 697 169 individuals in 2022). In 2016, the population consisted of 10 208 277 of 20 829 566 female participants (49.0%) and 6 091 959 (29.2%) aged 18 to 25 years. Proportions were similar in 2022. Significant increases in mental health care utilization were observed postpandemic compared with the prepandemic period, especially among females and young people aged 13 years and older. Outpatient psychiatric consultations increased among women (RR, 1.13; 95% CI, 1.07-1.20), individuals aged 13 to 17 years (RR, 1.15; 95% CI, 1.06-1.23), and individuals aged 18 to 25 years (RR, 1.08; 95% CI, 1.03-1.14). Hospitalizations for suicide attempt increased among women (RR, 1.14; 95% CI, 1.02-1.27) and individuals aged 18 to 25 years (RR, 1.07; 95% CI, 1.03-1.12). Regarding psychotropic medications, almost all classes, except hypnotics, increased in prescriptions between 2016 and 2022 for females, with a particularly marked rise in the postpandemic period. For men, only increases in the prescriptions of antidepressants (RR, 1.03; 95% CI, 1.01-1.06), methylphenidate (RR, 1.09; 95% CI, 1.06-1.12), and medications prescribed for alcohol use disorders (RR, 1.08; 95% CI, 1.04-1.13) were observed, and these increases were less pronounced than for women (antidepressant: RR, 1.13, 95% CI, 1.09-1.16; methylphenidate: RR, 1.15; 95% CI, 1.13-1.18; alcohol use dependence: RR, 1.12; 95% CI, 1.08-1.16). Medications reserved for severe mental health situations, such as lithium or clozapine, were prescribed more frequently starting at the age of 6 years. CONCLUSIONS AND RELEVANCE/UNASSIGNED:In this study, an interrupted time-series analysis found a marked deterioration in the mental health of young women in France in the after the COVID-19 pandemic, accentuating a trend of deterioration that was already observed in the prepandemic period.

The coexistence of mental and physical health illnesses could be accounted for by an underlying general disease factor (termed d-factor), reflecting theoretical underpinnings based on possible genetic and pathophysiological overlapping mechanisms. This study evaluated whether the d-factor underlies mental and physical health illnesses in adolescents. A series of confirmatory factor analyses were conducted using data from 1120 adolescents. The proposed common underlying factor, we believe is the d-factor, was consistently present across different modeling approaches, including unidimensional, correlated-factor, and bifactor models. The best model fit was achieved with the bifactor model represented by mental, neurological, and psychical conditions tested. The first compelling evidence was provided supporting the existence of the transdiagnostic d-factor in youth, opening the door to innovative research of comorbid mental and physical health conditions.